Samarth Kakkar, Dr.-Ing.

Skills

• Aeroservoelasticity and load alleviation

• Multidisciplinary design and optimization

• Probabilistic machine learning

• Topology optimization

• Compliant mechanisms

Current Projects

ISK (LuFo VI-3) | Structures for holistic structural system technologies for climate-neutral configurations

Publications

Kakkar, Samarth ; Niedersächsisches Forschungszentrum für Luftfahrt (Hrsg.): Gradient-Free Aerostructural Design of Wings for Mid-Range Transport Aircraft using Probabilistic Machine Learning. Braunschweig, Niedersächsisches Forschungszentrum für Luftfahrt, 2026. https://doi.org/10.24355/dbbs.084-202608172241-0

Kakkar, S., Heinze, W., Haupt, M. et al. Aerostructural design of laminar and dry wings using multidisciplinary Bayesian optimization. Struct Multidisc Optim 69, 202 (2026). https://doi.org/10.1007/s00158-026-04411-w

Kakkar, Samarth, Thomas Streit, Arne Seitz, and Rolf Radespiel. 2026. "Bayesian Forward Design Methodology for Laminar Transonic Airfoils with Cross Flow Attenuation at Large Sweep Angles" Aerospace 13, no. 2: 171. https://doi.org/10.3390/aerospace13020171

Peter, F. N., Engelmann, M., Fikry, M., Lüdemann, M., Moser, L., Warsch, C., Balderas-Xicohtencatl, R., Muslić, A., Erden, E., Hornung, M., Welsch, T., Schültke, F., Stumpf, E., Kakkar, S., Heinze, W., Haupt, M., Radespiel, R., Kriewall Peters, V., Bielsky, T., ... Strohmayer, A. (2026). Results of the H2Avia Project: Potential of Hydrogen for Global Aviation. Aerospace, 13(6), 550. https://doi.org/10.3390/aerospace13060550

Kakkar, S.; Heinze, W.; et al. (2024): Aerostructural Optimisation of Dry Wings for Hydrogen Aircraft. Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V.. (Text). https://doi.org/10.25967/630116